Data Collection Flashcards

1
Q

Sampling Frame

A

population of interest

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2
Q

Cross-Sectional Survey

A

gathers information about a population at a single point in time

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3
Q

longitudinal survey

A

survey over over a period of time.

Ex: satisfaction survey completed every few years

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4
Q

Types of Surveys

A
Written
Group-administered
Drop-off
Oral
Phone
Online
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5
Q

Written Survey

A

Mailed, printed in a newspaper, or administered in a group setting to obtain information from a broad audience. Advantages: low cost, respondents can complete at their own leisure. Disadvantages: low response rate, participants must be able to read and write

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6
Q

Group- Administered Survey

A

Specific population to target. Advantages: high & quick response rate. Disadvantages: must get everyone together at one time to complete, small sample size. Ex: End of class survey

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7
Q

Drop-off Survey

A

Survey dropped off at a residence or business. Advantages: Participants free to respond at their leisure, higher response rate because of contact at drop-off. Disadvantages: expensive because of time to distribute survey & smaller sample size.

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8
Q

Oral Survey

A

Administered on phone or in person orally

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9
Q

Phone Survey

A

Ask survey questions over the phone. Usually yes/no questions. If a live person administering the survey, the interviewer can ask follow up questions. Advantages: ability to ask follow up questions. Disadvantages: response rate unpredictable, can be more expensive than mail or internet, bias can be introduced because of interaction with interviewer.

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10
Q

Online Survey

A

Popular survey method conducted via email, website or text message. Advantages: quick response, inexpensive. Disadvantages: can introduce bias because leaves out people who do not have internet.

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11
Q

Survey design considerations

A

Short, clear \, easy to answer questions
Each question contains 1 issue
Avoid negatives
Avoid biased items and terms
Consistent response method - consistent scale or yes/no answers
Sequence questions from general to specific
Define unique or unusual terms

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12
Q

Sample Design

A

Should represent the population about which information is being gathered

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13
Q

Probability sampling

A

Direct mathematical relation between sample and population from which precise conclusions can be drawn

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14
Q

Random sampling

A

Everyone has a chance of being selected to participate in the survey

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15
Q

Stratified sampling

A

Population divided into separate groups or classes from which a sample is drawn such that the classes in the population are represented by the classes in the sample. Ex: electoral surveys

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16
Q

Cluster sampling

A

A special form of stratified sampling, where a specific group is targeted out of the general population. Ex: elderly or residents of a specific neighborhood

17
Q

Non-probability sampling

A

No precise connection between the sample and the population, thus results should be interpreted with caution since they are not necessarily representative of the population.

18
Q

Convenience Sampling

A

A survey of readily available individuals able to participate

19
Q

Snowball Sampling

A

An interviewed person suggest other potential interviewees.

20
Q

Volunteer sampling

A

Self-selected participants in a survey

21
Q

non sampling error

A

relates to things that can happen that create unreliable data. ex: respondents misinterpreting the intention of a term in a question.

22
Q

Top 5 Household Surveys for the Census Bureau

A
  1. American Community Survey (ACS)
  2. American Housing Survey
  3. Current Population Survey
  4. National Crime Victim Survey
  5. National Health Review Survey
23
Q

Audience Response System (ARS)

A

Polling software used in conjunction with a slide presentation. Provides instant, accurate feedback from the audience. The answers are anonymous.